{"id":"W4391717052","doi":"10.1002/jeq2.20547","title":"Balancing agriculture and environment: Andrew Sharpley's nutrient, soil, and water management legacy","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nutrient management; Agriculture; Tillage; Best practice; Stewardship (theology); Business; Food security; Environmental science; Environmental resource management; Environmental planning; Natural resource economics; Economics; Ecology; Political science; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006677237,0.000255311,0.0002789508,0.00006073698,0.0001488426,0.0001720077,0.0001688008,0.00009322407,0.0004181724],"category_scores_gemma":[0.000003113626,0.0001638047,0.0001116347,0.00005835766,0.0002819188,0.0007252526,0.0004491323,0.0002916474,0.0001285592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539504,"about_ca_system_score_gemma":0.000001691083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000017942,"about_ca_topic_score_gemma":0.000001355045,"domain_scores_codex":[0.9980831,0.00009765617,0.0005535141,0.0003915885,0.0005361817,0.0003379241],"domain_scores_gemma":[0.9994317,0.00004041901,0.0001230836,0.0001693907,0.0000010974,0.0002342774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000381268,0.00132976,0.7870552,0.000728547,0.0006947282,0.001194209,0.007227839,0.0008071521,0.1063358,0.001915395,0.004811976,0.08751807],"study_design_scores_gemma":[0.003146798,0.0006373514,0.735857,0.0003226285,0.0004730144,0.001360281,0.002956096,0.0009641461,0.01595124,0.02788424,0.2091353,0.001311889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958997,0.001640535,0.0003771211,0.0006301208,0.0002142654,0.0001662419,0.00002721826,0.00001833775,0.001026463],"genre_scores_gemma":[0.9956167,0.002998196,0.0005545288,0.0001836348,0.0001041007,0.000004447883,0.00001403625,0.00002054268,0.0005037906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043233,"threshold_uncertainty_score":0.6679763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007374438302695634,"score_gpt":0.215410836334091,"score_spread":0.2080363980313953,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}